Techno-Economic Assessment of Electronic Vaccine Intelligence Network (eVIN) of... · 2020. 12....

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Techno-Economic Assessment of Electronic Vaccine Intelligence Network (eVIN)

Transcript of Techno-Economic Assessment of Electronic Vaccine Intelligence Network (eVIN) of... · 2020. 12....

  • Techno-Economic Assessment of

    Electronic Vaccine Intelligence

    Network (eVIN)

  • Tab

    le o

    f C

    on

    ten

    tIntroduction

    Objectives

    Results

    Recommendations

  • Immunization Supply ChainUniversal Immunization Program of India, largest in the world, caters its beneficiaries through ~27,000 CCPs;with 95% CCPs situated below the district level (PHC, CHC, Urban Health Facility, Sub-centers)

    An Effective Immunization Supply Chain Plays a Key Role in Improving the Immunization Coverage

    eVIN has been designed to provide visibility of real time stock & temperature patterns, to calculate vaccinerequirement, to tackle emergency situations of temperature breach, to provide information on consumptionpatterns and possibilities of stock reallocation

    Source: VCCH 2016 Module

    Rationale

    • With the Gavi HSS1 support (2015-17), eVIN has been implemented in 12 out of 36 states and union territories. Gavi HSS2 support (2017-21) enabled the introduction of eVIN in the remaining 24 states and union territories. From the year 2018 onwards, state governments were expected to sustain its own implementation costs.

    • Given the context, ‘Techno-economic assessment of eVIN’ was proposed to provide learnings for scale up of the progarmme in remaining states, and also pave a sustainable way forward for eventual transition of eVIN from UNDP/GAVI to GoI.

  • Study Objectives

    01

    02

    03

    04

    To assess the programmatic usefulness of eVIN implementation, in areas of stock management and documentation, temperature monitoring and cold chain equipment

    To document the program benefits and challenges of eVIN implementation, in contributing to system effectiveness and efficiencies

    To evaluate the economic impact of eVIN implementation, including cost savings on vaccine and cold chain logistics management

    To conduct an economic-feasibility assessment modelling the Return On Investment (ROI) of eVIN implementation

  • Study Design (Quasi Experimental Design)

    Pre- and post- eVIN implementation assessment: To assess programmatic usefulness of eVIN

    • A comparative analysis of key process indicators was done for all 12 eVIN states, based on a set of six-monthdata before eVIN implementation and another six-month data (Oct’17 to Mar’18) after eVIN implementation.

    A comparative assessment in three eVIN and three Non-eVIN states:

    • A comparative analysis of key performance indicators was done to assess enhanced outcomes in eVIN statesas compared with non-eVIN states.

    Economic assessment of eVIN implementation :

    • Economic assessment was conducted in 7 states using a pre-post study design separately for one year beforeeVIN and one year from eVIN implementation.

    Both quantitative and qualitative methods were applied for programmatic assessment, while economic assessment was purely quantitative.

    Total 944 cold chain points were covered in programmatic assessment. Economic assessment collected data from 102 CCPs in 7 states.

  • Study Design (Quasi Experimental Design)Assam

    No. of Districts3 Nagaon, Dhubri,

    Jorhat

    No.of CCPs 44

    Gujarat

    No. of Districts

    3 PanchmahalPorbandarKheda

    No.of CCPs 124

    Nagaland

    No. of Districts

    1 Kohima

    No.of CCPs 6

    Odisha

    No. of Districts

    3 Jajpur, Balasore, Nupada

    No.of CCPs 70

    Bihar

    No. of Districts

    4Jamui, Lakhisarai, Nalanda, Patna

    No.of CCPs 63

    Himachal Pradesh

    No. of Districts

    1 Shimla

    No.of CCPs 23

    Rajasthan

    No. of Districts

    3 BharatpurChittorgarhBikaner

    No.of CCPs 132

    Uttar Pradesh

    No. of Districts

    8

    Gorakhpur, Basti, Shravasti, Varanasi, Unnao, Shahjahanpur, Kushinagar, Ghaziabad

    No.of CCPs

    66

    eVIN States

    Non eVIN States

    West Bengal

    No. of Districts

    2 24ParganaWest Bardhaman

    No.of CCPs 93

    Haryana

    No. of Districts

    2 HisarYamunanagar

    No.of CCPs 60

    Manipur

    No. of Districts

    1 Imphal (W)

    No.of CCPs 6

    Jharkhand

    No. of Districts

    2 DumkaDhanbad

    No.of CCPs 13

    Chhattisgarh

    No. of Districts

    3 Balod, Dhamtari, Kawardha

    No.of CCPs 52

    Punjab

    No. of Districts

    3 Sangrur, JalandharLudhiana

    No.of CCPs 77

    Comparative States

  • 23

    15

    29

    10

    23

    ANM Health Supervisor Male

    Health Supervisor Female

    PharmacistOthers

    eVIN States

    Designation and Training Status of Cold Chain HandlersVCCH’16 Module Training

    Status

    10%

    90%

    % Trained % Untrained

    eVIN States – Training Status

    ❖ 10 % of CCHs across 15 states belong to “others "category i.e. Class IV, Administrative, etc.

    ❖ Majority of CCHs are ANM and Pharmacist

    ANM Health Supervisor Male

    Health Supervisor Female

    PharmacistOthers

    Non eVIN States64

    .9

    1.4 9

    .0 13

    .1

    11

    .7

    25%

    75%

    6%

    94%

    % Trained % Untrained

    in %

    in %

    VCCH’16 Module Training Status

  • Savings in Vaccine Utilization by eVIN States (Source: Immunization Division, MoHFW)

    Overall

    3053

    2149

    Pre

    Post

    Uti

    lizat

    ion

    of

    Do

    ses

    (in

    lakh

    )

    30% SAVING

    IN VACCINE UTILIZATION

    ~900 lakh vaccine doses

    saved

    Uttar Pradesh and Bihar reported maximum saving of vaccine doses (~80 %)

    • Vaccine Utilization = Opening Dosage + Dosage Received – Closing Balance • Pre eVIN period: 2015-16 for UP, MP and Raj as eVIN was implemented in early 2016-17; 2016-17- for remaining 9 states • Post eVIN period: 2016-17 for UP, MP and Raj ; 2017-18 for remaining 9 states • *Vaccines Considered -Hep-B, DPT, BCG, Pentavalent, TT : for 12 states • Measles in 11 states except HP because of introduction of MR • OPV in 9 states except Uttar Pradesh, Madhya Pradesh and Rajasthan because of t-opv to b-opv switch and mop-up rounds in 2016-17.

  • Facilities Reported Stock-out of any Antigen (%)

    Pre Post

    37.8%

    26.3%

    30% reduction in facilities observed stock-out

    (statistically significant at 95% CI)

    Facilities reported Stock-Out

    Pre Post

    1 instance

    0.6 instance

    40% reduction in instances of stock out

    Instances per Facility

    Pre Post

    13.1 Days

    8.3 Days

    37% reduction in mean duration of Stock-out

    Mean Duration of Stock-out

    Per Facility

    *Reference period: Pre: 6 months prior to inception of eVIN , post: Oct’17 to Mar’18, Vaccines-Hep-B, DPT, BCG, Pentavalent, Measles, OPV & TT for 12 states except Measles not included for HP because of introduction of MR

    There is no statistically significant difference in maximum and minimum stock of any antigen after introduction of eVIN.

  • Percent Reduction in Missed Opportunity

    Significant reduction in instances of

    missed opportunities

    for most of the antigens

    *Missed opportunity has been calculated by number of sessions missed, multiplied by number of children immunized/facility in the pre/post period from the HMIS data for the sampled districts.

    # Hep-B is in number of days of stock-out. To calculate missed opportunity, number of days of stock-out was multiplied with the number of children immunized with Hep-B in a facility in a day in the

    pre/post period from HMIS data for the sampled districts. $ includes children and women

    6.4

    0.2

    41.5

    20

    70.3

    41.9

    30.5

    38.1

    0

    10

    20

    30

    40

    50

    60

    70

    80

    BCG HEP-B# OPV DPT Penta Measles TT$ Total

    After eVIN implementation, an additional 4,01,438 antigens were administered to the due beneficiaries

    in %

  • Facilities having Discard of any Vaccine (Source: UNDP-India reported eVIN and VCCM records)

    In p

    erc

    en

    tage

    Difference in discard of any vaccine is statistically significant

    30.0

    22.6

    Pre Post

    25% reduction in facilities reporting wastage

    Significance * p

  • Doses Discarded: Projections

    Antigen Pre-eVIN Post-eVIN % reduction in doses discarded

    BCG 128,751 25,750 80.0

    DPT 801,670 10,668 98.7

    HEP-B 64,209 33,442 47.9

    MEASLES 34,278 6,688 80.5

    OPV 192,626 150,489 21.9

    PENTA 29,094 16,387 43.7

    TT 37,121 6,688 82.0

    Total 12,87,749 2,50,112 80.6

  • Vaccine Distribution PracticesPost-eVINPre-eVIN Post-eVINPre-eVIN Post-eVINPre-eVIN

    Indent response Time# Order Fill Rate* Days left in expiry

    57 %reductionIn post eVIN mean

    response time was 3 days in comparison with 7 days

    in pre-eVIN

    No significant change was observed. In post eVIN mean

    response time was 99% compared with 97% in pre-eVIN

    In post eVIN mean response time was 384

    days in comparison with 428 days in pre-eVIN

    2 %marginal increase 10 %reduction

    7 Days

    3 Days

    99%97%428 Days

    384 Days

  • Record Keeping Practices

    Vaccine Documentation Practices

    Vaccine Stock Updating Duration

    Post-eVINPre-eVIN

    56.2%

    97.4%

    56.2%Maintaining GOI register for record

    keeping has increased from

    facilities in pre-eVIN to 97.4%facilities in the post-eVIN period

    38.6%

    53.5%

    Post-eVINPre-eVIN

    38.6%The daily updating of vaccine stock

    register daily has improved from

    facilities in pre-eVIN to 53.5%facilities in the post-eVIN period

  • Documentation: More Than 90% Completeness

    Temperature Logbook

    29%In pre-eVIN

    CCPs in comparison with 70%in post-eVIN

    Indent register

    26%In pre-eVIN

    CCPs in comparison with 69%in post-eVIN

    Above 90% completeness’ indicates less than or equal to 10 instances missed out of 6 critical indicators- batch no, expiry date, VVM status, opening balance, closing balance, open vials (at CCP).

    Stock Register

    29%In pre-eVIN

    CCPs in comparison with 75%in post-eVIN

  • Accuracy in Documentation (across eVIN states)

    94 %accuracy matched in stock registers and eVIN entries

    92 %accuracy matched in physical counting of doses and eVIN

    entries

  • Observed Stem Thermometer Reading in the Recommended Temperature

    Range at the Time of Visit

    Temperature Monitoring

    97.2%

    81.8%

    eVIN Non eVIN

    CCH Recording on the Same Day

    97.8% 96.5%

    eVIN Non eVIN

    Between 2 to 8 Degree

  • Accuracy of Temperature (%): eVIN Logger Matched with Stem Thermometer

    88.1

    6.55.4

    % Match

    88% accuracy

    Difference is less than ± 0.5 degree Celsius

    Difference between ± 0.5 to ± 1 degree Celsius

    Difference is more than ± 1 degree Celsius

  • Cold Chain Equipment: Sickness Rate

    eVIN Non eVIN

    1.9%

    3.4%Sickness rate among eVIN states are less

    than 2%

  • Time Required to: Prepare Vaccine Indent, After Vaccine Receipt, and in Updating Vaccine Distribution

    65 70

    24

    0

    20

    40

    60

    80

    100

    120

    140

    eVIN States Non-eVIN States

    In M

    inu

    tes

    Vaccine Indent

    Time taken to fill register

    Time taken to fill eVIN

    82 82

    20

    0

    20

    40

    60

    80

    100

    120

    140

    eVIN States Non-eVIN States

    In M

    inu

    tes

    After Vaccine Receipt

    90 90

    44

    0

    20

    40

    60

    80

    100

    120

    140

    eVIN States Non-eVIN States

    In M

    inu

    tes

    Updating of Vaccine Distribution

  • Challenges Addressed or Not

    Cold Chain System MonitoringStock Management

    Stock Out

    Minimum Stock

    Duration of Stock Out

    Vaccine Indent Response Time

    FEFO

    Lateral Sharing

    Wastage

    Stock Updation

    Addressed

    Maximum Stock

    Order Fill Rate

    Not Addressed

    Lack of Indents

    Temperature Management

    Knowledge of Temperature Trends

    Temperature Record Documentation

    Documentation of Breach Events

    Addressed

    Temperature of Cold Box

    Placement of Sensor Position in Equipment

    Not Addressed

    Defined Key Areas of Monitoring

    Addressed

    Strengthening of Monitoring at Regional, District and Sub District Level

    Frequent Transfer/ Change of Staff

    Not Addressed

    Deployment of Additional Resource (VCCM) for Monitoring

    Involvement of State Officials in Monitoring

  • Return on Investment (INR)

    Current Saving

    Investment182.09 Crore

    Total Saving255.84 Crore

    Return On Investment1.41

    Future Saving

    Investment87.81 Crore

    Total Saving255.84 Crore

    2.91Return On Investment

  • Thank You!